National estimates of the prevalence of Alzheimer's disease in the United States.
National estimates of the prevalence of Alzheimer's disease in the United States.
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DOI：
10.1016/j.jalz.2010.11.007
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发表时间：
2011-01
期刊：
影响因子：
--
通讯作者：
Kukull WA
中科院分区：
文献类型：
--
作者：
Brookmeyer R;Evans DA;Hebert L;Langa KM;Heeringa SG;Plassman BL;Kukull WA
提出了几种估计痴呆患病率的方法。对于Brookmeyer和芝加哥健康与老龄化项目（Health and Aging project，简称HAD），患病率的估计值都是通过统计学方法得出的，并根据发病率和存活率数据进行了向前计算。在这里，选择估计数所依据的发生率可能至关重要。Brookmeyer使用了一些已发表研究的发病率，而研究人员使用了他们自己队列中观察到的发病率。老龄化，人口统计学和记忆研究（亚当斯）和东波士顿高级健康项目（EBSHP）的抽样调查，旨在确定AD和痴呆症的患病率。亚当斯依靠全国范围内的概率抽样获得直接估计。EBSHP依赖于对全国人口的局部流行率估计的预测。亚当斯和EBSHP的抽样技术相当相似，但它们的疾病定义不同。相比之下，EBSPH和ADMS在内部有相似的疾病定义，但使用不同的计算技术，但得出的患病率估计值相似，远高于Brookmeyer或亚当斯获得的患病率估计值。疾病定义的选择可能在解释这些研究之间观察到的患病率差异方面发挥更大的作用。
Several methods of estimating prevalence of dementia are presented. For both Brookmeyer and the Chicago Health and Aging project (CHAP), the estimates of prevalence are derived statistically, forward calculating from incidence and survival figures. Here, the choice of incidence rates upon which to build the estimates may be critical. Brookmeyer used incidence rates from a number of published studies, whereas the CHAP investigators applied the incidence rates observed in their own cohort. The Aging, Demographics, and Memory Study (ADAMS) and the East Boston Senior Health Project (EBSHP) were sample surveys designed to ascertain the prevalence of AD and dementia. ADAMS obtained direct estimates by relying on probability sampling nationwide. EBSHP relied on projection of localized prevalence estimates to the national population. The sampling techniques of ADAMS and EBSHP were rather similar while their disease definitions were not. By contrast, EBSPH and CHAP have similar disease definitions internally, but use different calculation techniques, and yet arrive at similar prevalence estimates, which are considerably greater than those obtained by either Brookmeyer or ADAMS. Choice of disease definition may play the larger role in explaining differences in observed prevalence between these studies.
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影响因子：
5.7
作者：
Langa, KM;Plassman, BL;Willis, RJ
通讯作者：
Willis, RJ
影响因子：
14
作者：
Brookmeyer, Ron;Johnson, Elizabeth;Arrighi, H. Michael
通讯作者：
Arrighi, H. Michael
影响因子：
9.9
作者：
Kawas, C;Gray, S;Zonderman, A
通讯作者：
Zonderman, A
影响因子：
--
作者：
Lopez, OL;Jagust, WJ;Kuller, LH
通讯作者：
Kuller, LH
影响因子：
--
作者：
Evans, DA;Bennett, DA;Schneider, J
通讯作者：
Schneider, J